IMPRECISE PROBABILITIES AND THEIR APPLICATIONS

Pittsburgh, PA, USA

July 20-23 2005

- A New Score for Independence Based on the Imprecise Dirichlet Model
*Joaquín Abellán, Serafín Moral*

- Fast Algorithms for Robust Classification with Bayesian Nets
*Alessandro Antonucci, Marco Zaffalon*

- Comparative Ignorance and the Ellsberg Phenomenon
*Horacio Arlo-Costa, Jeffrey Helzner*

- Comparing Methods for Joint Objective and Subjective Uncertainty Propagation with an example in a risk assessment
*Cédric Baudrit, Didier Dubois*

- Possibilistic networks with locally weighted knowledge bases
*Salem Benferhat, Salma Smaoui*

- Electric Company Portfolio Optimization Under Interval Stochastic Dominance Constraints
*Dan Berleant, Mathieu Dancre, Jean-Philippe Argaud, Gerald Sheble*

- Some theoretical properties of interval-valued conditional probability assessments
*Veronica Biazzo, Angelo Gilio*

- On eventwise aggregation of coherent lower probabilities
*Andrew Bronevich*

- Computing Lower and Upper Expectations under Epistemic Independence
*Cassio Campos, Fabio Cozman*

- Application of a hill-climbing algorithm to exact and approximate inference in credal networks
*Andrés Cano, Manuel Gómez, Serafín Moral*

- Configurations of Locally Strong Coherence in the Presence of Conditional Exchangeability (the case of cardinality k <= 3)
*Andrea Capotorti*

- Likelihood-Based Statistical Decisions
*Marco Cattaneo*

- Answers to Two Questions of Fishburn on Subset Comparisons in Comparative Probability Orderings
*Robin Christian, Arkadii Slinko*

- Learning from multinomial data: a nonparametric predictive alternative to the Imprecise Dirichlet Model
*Frank Coolen, Thomas Augustin*

- Evidential modeling for pose estimation
*Fabio Cuzzolin, Ruggero Frezza*

- n-Monotone lower previsions and lower integrals
*Gert De Cooman, Matthias Troffaes, Enrique Miranda*

- S-Independence and S-Conditional independence with respect to Upper and Lower Conditional Probabilities Assigned by Hausdorff Outer and Inner Measures
*Serena Doria*

- Computing the Join Range of a Set of Expectations
*Charles Geyer, Radu Lazar, Glen Meeden*

- Basing Probabilistic Logic on Gambles
*Peter Gillett, Richard Scherl, Glenn Shafer*

- Objective Imprecise Probabilistic Information, Second Order Beliefs and Ambiguity Aversion: an Axiomatization
*Raphaël Giraud*

- Towards a Unifying Theory of Logical and Probabilistic Reasoning
*Rolf Haenni*

- Dynamically Consistent Updating of MaxMin EU and MaxMax EU Preferences
*Eran Hanany, Peter Klibanoff*

- Approximate Inference in Credal Networks by Variational Mean Field Methods
*Jaime Ide, Fabio Cozman*

- A Granular Semantics for Fuzzy Measures and its Application to Climate Change Scenarios
*Jonathan Lawry, Jim Hall, Guangtao Fu*

- Decision Making with Imprecise and Fuzzy Probabilities - a Comparison
*Sven-Hendrik Lossin*

- Nonmonotonic Probabilistic Logics under Variable-Strength Inheritance with Overriding: Algorithms and Implementation in nmproblog
*Thomas Lukasiewicz*

- On Coherent Variability Measures and Conditioning
*Sebastian Maass*

- On the Existence of Extremal Cones and Comparative Probability Orderings
*Simon Marshall*

- Bayesianism Without Priors, Acts Without Consequences
*Robert Nau*

- Envelope Theorems and Dilation with Convex Conditional Previsions
*Renato Pelessoni, Paolo Vicig*

- Limits of Learning from Imperfect Observations under Prior Ignorance: the Case of the Imprecise Dirichlet Model
*Alberto Piatti, Marco Zaffalon, Fabio Trojani*

- Imprecise probability models for inference in exponential families
*Erik Quaeghebeur, Gert De Cooman*

- Estimation of Chaotic Probabilities
*Leandro Rego, Terrence Fine*

- No Double Counting Semantics for Conditional Independence
*Prakash P. Shenoy*

- A Protocol for the Elicitation of Imprecise Probabilities
*Alane Alves Silva, Fernando Campello de Souza*

- Generalized Conditioning in Neighbourhood Models
*Damjan Škulj*

- Ordinal Subjective Foundations for Finite-domain Probability Agreement
*Paul Snow*

- Variable Selection in Classification Trees Based on Imprecise Probabilities
*Carolin Strobl*

- Powerful algorithms for decision making under partial prior information and general ambiguity attitudes
*Lev Utkin, Thomas Augustin*

- Decision making under incomplete data using the imprecise Dirichlet model
*Lev Utkin, Thomas Augustin*

- The role of coherence for the integration of different sources
*Barbara Vantaggi*

- On an Interval-Valued Solution of the Marginal Problem
*Jirina Vejnarova, Radim Jirousek, Vladislav Bína*

- Maximal Number of Vertices of Polytopes Defined by F-Probabilities
*Anton Wallner*

- The Logical Concept of Probability and Statistical Inference
*Kurt Weichselberger*

- Conservative Rules for Predictive Inference with Incomplete Data
*Marco Zaffalon*

- Arithmetic on random variables: squeezing the envelopes with new joint distribution constraints
*Jianzhong Zhang, Dan Berleant*

Page created june 2nd 2005, last updated June 2nd 2005.

Send any remarks to the following address: smc@decsai.ugr.es